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INDONESIA
Indonesian Journal of Multidisciplinary Science
Published by CV. International Journal Labs
ISSN : 28085957     EISSN : 28086724     DOI : 10.55324
Core Subject : Economy, Humanities, Health, Science, Education, Social, Engineering,
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences
Indonesian Journal of Multidisciplinary Science (IJOMS) is a scientific journal in the form of research and can be accessed openly. This journal has e-ISSN 2808-6724 and p-ISSN 2808-5957. This journal is published monthly by International Journal Labs. The development of the company made the management of this Journal transferred to International Journal Labs which is part of Syntax Corporation Indonesia. Indonesian Journal of Multidisciplinary Science (IJOMS) provides a means for ongoing discussion of relevant issues that fall within the focus and scope of the journal that can be examined empirically. This journal publishes research articles covering multidisciplinary sciences, including: Humanities and social sciences, contemporary political science, Educational sciences, religious sciences and philosophy, economics, Engineering sciences, Health sciences, medical sciences, design arts and media sciences.
Arjuna Subject : Umum - Umum
Articles 679 Documents
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Social forestry business group financing strategy in Wanagiri Village, Sukasada District, Buleleng Regency, Bali Province Musyaffa, Muhammad Elfaza Faishal; Boer, Rizaldi; Anggraeni, Lukytawati
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1095

Abstract

Social forestry is a flagship program to preserve forests while improving the welfare of communities around forest areas. This program faces several problems and challenges, one of which is the problem of financing social forestry business groups. The purpose of this study is to analyze alternative financing strategies for social forestry business groups. This study uses an in-depth interview method with the public and experts and the results are analyzed using descriptive analysis, SWOT and QSPM. Interviews with the community found that the financing of social forestry business groups is still minimal, this is due to several factors, including access to financing, government support, human resource capacity, and institutions, so alternative strategies are needed to increase the financing potential of social forestry business groups. Alternative strategies based on SWOT and QSPM analysis include actively looking for alternative sources of financing, increasing human resource capacity, evaluating the improvement of management of social forestry business groups, managing the environment sustainably, utilizing social forestry assistance facilities, conducting active communication with related institutions, and participation in collaboration between the community, government, and the private sector in the development of social forestry business groups.
Optimization of Meninting Dam water utilization to meet Irrigation, Raw Water, and Micro Hydro Power Plant potential needs Grahestika, Ni Ketut Laksmi; Setiawan, Ery; Sulistiyono, Heri
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1096

Abstract

The construction of the Meninting Dam located in West Lombok Regency, was motivated by the unequal supply of water on Lombok Island. The Meninting Dam was built with the aim of providing irrigation water to Sesaot, Penimbung, and Ketapang Irrigation Area. Apart from that, it is also to supply raw water needs and is used for electricity generation. In fulfilling these goals, it is necessary to carry out careful calculations and use water optimally in an effort to meet these needs. This research aims to obtain optimization results from water utilization with the objective function in the form of maximum profit with a decision variable in the form of optimal irrigated land area and to determine the annual benefit value from dam water use. Optimization analysis is carried out using program Solver in Microsoft Excel. In calculating water availability, Orong Atas AWLR data is used with an area comparison formula. Meanwhile, in calculating the need for irrigation water, several alternatives were tried based on the start of different planting seasons. Based on optimization calculations using Solver, the optimum area was obtained at 1065,29 ha in Sesaot Irrigation Area, 454 ha in Penimbung Irrigation Area, and 40 ha in Ketapang Irrigation Area with a planting intensity for each irrigation area of 300% and reliability of the reservoir at the November I planting season was 80,42%. The value of annual benefits obtained in one year from the productivity of paddy and secondary crops, raw water, and electricity is IDR 105.168.334.600,00.
The perception of tofu entrepreneurs on the factors affecting the decline of the tofu industry in Kuningan Regency Sugianto, Ahmad; Dahlan, Dahlan; Rusmana, Endang; Aisyah, Siti; Suciaty, Tety
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1097

Abstract

This study aims to understand tofu entrepreneurs' perceptions of the factors affecting the decline of the tofus industry both simultaneously and partially in Kuningan Regency. The study employs descriptive quantitative methods through a survey approach, aiming to explain and summarize various conditions and situations while revealing problems or facts in more depth. This study also utilizes measurements and analyses to explore the views of tofo entrepreneurs regarding the elements that contribute to the decline in the number of industries. The results indicate that the entrepreneurs' perceived factors regarding capital, raw materials, labor, marketing, and training simultaneously have a significant effect on the decline, with a p-value of 0.049  0.05. In contrast, the capital factor does not have an impact on industry decline, while the marketing factor partially influences industry decline. In addition, the effect of reactivating tempeh-tofu cooperatives (Kopti) on operational efficiency and profitability is not significant. The findings provide practical implications for policymakers and entrepreneurs to address industry challenges. These avenues could provide valuable insights and actionable strategies that could be applied locally.
Strategy for the development of Arabica Coffee agribusiness in Cisantana Village, Cigugur District, Kuningan Regency Hidayat, Edi; Fahmi, Ziad; Faqih, Achmad; Hidayat, Yayat Rahmat
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1098

Abstract

The purpose of this research is to identify the external and internal factors influencing the development of Arabica coffee agribusiness in Cisantana Village, Cigugur District, Kuningan Regency, and to explore alternative strategies that can be implemented for the advancement of this agrobusiness in the village. This research focuses on the development strategies for the Arabica Coffee Agribusiness. In this research, the population consists of all farmers in the Village, numbering 80 individuals. The sample for internal respondents is based on the Slovin formula. The internal factor analysis matrix (IFAS) for the development strategy for Arabica agbusiness shows that the strength indicator is the volume of production for development activities. The external factor analysis summary (EFAS) strategy shows that there is a gap in the existing literature on the coffee sector by focusing on the unique socio-economic conditions specific to the village, which have not been thoroughly examined in broader studies like those by Summase et al.
The effect of Gibberellin (GA3) concentration on flower loss and yield in the soybean (Glycine Max (L.) Merril) Anjasmoro Cultivar Azzahra, Nabila; Aryono, Angela Dwi; Awaliyah, Salsa Rizki; Faqih, Achmad
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1100

Abstract

Soybean (Glycine max (L.) Merril) is one of the main crops widely grown around the world and can affect various aspects of the ecosystem. One of the efforts to increase soybean production and prevent flower loss is the use of plant growth regulators (PGRs). The purpose of this research is to reduce flower loss and increase production yields in the Anjasmoro cultivar of soybean plants. This study aims to: (1) determine the significant influence of gibberellin (GA3) concentration on flower shedding, the number of pods per plant, the dry pod weight (per plant (g) and per plot (g), and the dry seed weight (pt)) of soybean. The study was carried out at Beberan Village, Palimanan District, Cirebon Regency, Indonesia. The research used Randomized Group Design (RGD) with one treatment factor and 4 replications. The results showed that the concentration of gibbelliin (GA3) significantly influenced flower loss (p0.05) and yield (p>0.05). The application of 100 ppm (N2) of GA3 can produce the highest dry weight of 901.25 g/plot or 2,815.625 kg/ha and is significantly different from other treatments. In addition, the study identified the optimal concentration that minimizes flower loss while maximizing production yield under non-stress conditions, contributing valuable insights to enhance agricultural practices aimed at improving soybean productivity in Indonesia.
The smart classroom: Exploring the impact of IoT on teaching dynamics using SVM algorithm Sudrajat, Sudrajat
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1101

Abstract

This research explores the revolutionary impact of IoT in smart classrooms, focusing on how the interplay of advanced technology and pedagogical principles can enhance the learning environment. Central to this IoT system is a gateway connecting a suite of sensors: microphones for audio, cameras for security and interactive purposes, and environmental sensors for monitoring light, temperature, and air quality. Individual desk sensors further augment this setup, tracking student attendance and engagement. Through APIs, these hardware elements seamlessly interface with software, allowing SVM algorithms to process the data for personalized educational experiences. This innovative approach aligns with contemporary educational theories, promoting an interactive, adaptive, and student-centered learning atmosphere. The study's goal is to leverage these diverse sensors to transform traditional teaching methods, creating a dynamic, inclusive, and effective learning environment in the era of digital classrooms.
Application of K-Means and C4.5 Algorithms for dropout risk prediction in vocational high schools Anwar, Syahrul
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1102

Abstract

The issue of dropout remains a serious challenge at the vocational high school (SMK) level, including at SMK Islam Nusantara. Over the past five years, the school has experienced a dropout rate of 20% of all enrolled students. This study aims to identify students at high risk of dropping out by applying the K-Means and C4.5 algorithms. The K-Means algorithm is used to cluster students based on factors such as academic performance, socioeconomic conditions, and the distance from home to school. Subsequently, the C4.5 algorithm is used to predict dropout risk based on the clustering results. The data used in this study were obtained directly from the Dapodik Data Center of SMK Islam Nusantara and include student data from the 2019 to 2024 academic years. The results indicate that socioeconomic factors, the distance from home to school, and academic performance significantly influence dropout risk. Students from low-income families and with poor academic performance were found to be at the highest risk of dropping out. This study makes a significant contribution to SMK Islam Nusantara by developing an early warning system that can help identify students at risk of dropping out. With more targeted interventions, such as academic counseling and socioeconomic support, it is expected that the dropout rate can be significantly reduced. Additionally, this predictive model can be applied to other vocational schools with similar conditions to improve the overall quality of vocational education.
Analysis of the influence of external and internal factors on stock prices (Case study on the Infobank15 index) Nikmah, Karimatun; Novianti, Tanti; Ardiansyah, Ferry
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1104

Abstract

In the era of globalization, the capital market plays an important role in the economy, especially in Indonesia, which has experienced an increase in the number of investors by 17.19% in 2023. This study aims to analyze the factors that affect the stock price of the banking sector in Indonesia during the period 2018 to 2023. The method used is secondary data analysis from the annual financial statements obtained from the Indonesia Stock Exchange, with a purposive sampling technique to select 13 banking companies as a sample. The analysis for the difference test in comparing changes in stock prices from the period before the pandemic, during pandemic and pasca pandemic using the Anova and Kruskal Wallis tests and the panel data test to evaluate the influence of macroeconomic variables and fundamental factors on stock prices. The results of the Anova and Kruskall Wallis test show that almost all companies tested had differences in stock prices pra-pandemic, during pandemic and pasca pandemic. The results data panel show that interest rate variables, NIM, CAR, NPL, ROE, BOPO, LDR, and PBV have a significant influence on stock prices, while GDP, Inflation,  EPS, and PER have no effect. The study found that interest rates have a positive effect, while NPLs and BOPO have a negative impact on stock prices. The study’s implications emphasize the importance of bank management to pay attention to fundamental and external factors, especially interest rates and financial ratios, to increase investor attractiveness and stock price stability in the capital market.
Municipal waste management scenario in Bangladesh: 3Rs perspective Shumshunnahar, Mst.
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 6 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i6.1007

Abstract

This study aims to analyze the current state of solid waste management in municipalities in Bangladesh, while also identifying the challenges they face and the opportunities that arise from their situations. This research employs a quantitative research approach, prioritizing primary data while integrating qualitative methods. Data collection involved objective-based questionnaires, content analysis of relevant documents, key information interviews, and a semi-structured survey method. The data have been organized, categorized, coded, computed, analyzed, summarized, presented, and tabulated (Statistical Packages for the Social Sciences). The primary objective is to evaluate the quantity and composition of Municipal Solid Waste in the study areas, and compare it to other municipalities in relation to the principles of the 3Rs (Reduce, Reuse, Recycle). The main objective of this study is to identify the challenges and opportunities related to waste generation, composition, and management practices. Furthermore, the study seeks to determine the limitations of the existing systems and explore potential improvements based on the three-resources framework. The study could explore the integration of technology in monitoring and managing waste services, assessing how these innovations can enhance transparency and accountability within local governments. This study could also explore the feasibility of establishing Ward Development Committees and their role in mobilizing community participation, along with assessing the financial implications of introducing extra charges for excessive waste production.
Website Design for Providing Product Price Information of Micro, Small, and Medium Enterprises (MSMEs) Retail Business Sipahutar, Luat Paska; Findi, Muhammad; Neyman, Shelvie Nidya
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 7 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i7.1122

Abstract

MSMEs dominate Indonesia’s economy, comprising 99.99% of business units, yet face challenges in digital adoption. This study addresses the gap by designing a website to streamline retail pricing information for Bekasi Regency’s MSMEs, leveraging rebranding and technology to enhance market reach. The research aims to develop a user-friendly website (www.produkumkmsejahtera.com) for price transparency, validate its effectiveness, and analyze MSME digital engagement. Conducted from November 2024 to January 2025, the research employed a mixed-method approach: surveys with 150 MSMEs, validity/reliability tests (Cronbach’s alpha 0.956), and iterative website development using CSS, HTML, JavaScript, and Laravel. Data collection included GPS-based price tracking and WhatsApp integration for customer interaction. The logo and responsive design significantly improved user engagement. Dominant sectors were crafts (weaving, leather) and food (presto milkfish). Validity tests confirmed robust metrics for information quality and trust. The study highlights the need for digital tools in MSME growth, recommending a future Play Store app with payment features. Findings support policymakers and MSMEs in adopting scalable digital solutions.

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